State-of-the-art image classifiers can identify thousands of objects with near-human accuracy. They power self-driving cars, medical diagnostics, and security systems. But a 2019 paper by Su et al. proved something unsettling: you can make these systems completely misclassify an image by changing a single pixel. Not photoshopping the whole thing.
Most companies are defending against prompt injection completely wrong. They're either doing nothing—hoping OpenAI or Anthropic will magically fix the problem—or they're implementing security theater that wouldn't stop a determined 12-year-old with a ChatGPT account. Here's the uncomfortable reality: if
GPT-OSS Safeguard isn't just "Llama Guard but from OpenAI." It's a policy-following reasoning model - you write the safety rules, it interprets them at inference time. That flexibility is powerful for custom policies, but deploy it wrong and you'll be out of compute fast.
Llama Guard isn't a firewall. It's not antivirus for your prompts. And if you're treating it like either, you're probably leaving gaps in your AI security.
Bing Chat. ChatGPT plugins. Hundreds of production apps. Same vulnerability: no separation between system instructions and user input. If you're concatenating prompts, you're vulnerable.
Most RAG systems have at least one critical security flaw — they can be exploited to leak confidential data. Run these 5 checks before your next deployment.
Wanna learn how to hack an AI? Now is your chance! I'm going to show you three prompt injection attacks that work on ChatGPT, Claude, and most other LLMs. You can test these yourself in the next five minutes. No coding required. Also...you didn't 'hear' this from me...
Kata Containers runs each container inside its own lightweight VM, giving you Docker's speed with VM-level security isolation—perfect for untrusted code, multi-tenant systems, and when namespace isolation just isn't enough.
Prompt injection is the #1 security threat facing AI systems today and there's no clear path to fixing it. This vulnerability exploits a fundamental limitation: LLMs can't distinguish between trusted instructions and malicious user input. Understanding prompt injection isn't optional—it's critical.
If you've been paying attention to the AI space lately, you've probably heard about the Model Context Protocol, or MCP. Released by Anthropic in November 2024, it's being hailed as a game-changer for AI integrations—and honestly, it kind of is. It's
You've probably heard AI is taking over the world - but here's the dirty little secret: most AI models are shockingly fragile. I'm talking 'one pixel change breaks everything' fragile. Today we'll cover what AI actually is, how machine learning
The title about says it all, doesn't it? LLMs are a lot dumber than most folks seem to realize, and today, we're going to blow those vulnerabilities open. Let's get into it. LLM Basics (And why they aren't as smart as you